Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. The function 'kmeansW', a modification of 'kmeans', programmed in C++, is included, in order to permit to have different weights of the elements to be clustered. Some complementary functions and datasets are included. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statistique Exploratoire Multidimensionnelle, Dunod, Paris.
|Author||Campo Elias Pardo <[email protected]>, Pedro Cesar del Campo <[email protected]> and Camilo Jose Torres <[email protected]>, with the contributions from. Ivan Diaz <[email protected]>, Mauricio Sadinle <[email protected]>, Jhonathan Medina <[email protected]>.|
|Date of publication||2018-03-01 17:54:42 UTC|
|Maintainer||Campo Elias Pardo <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.